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Volume 22 Supplement 12

Explainable AI methods in biomedical data science


Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

Virtual24-25 January 2021

Conference website

Edited by Henry Han and XiangRong Liu.

  1. During the pathogenesisof complex diseases, a sudden health deterioration will occur as results of the cumulative effect of various internal or external factors. The prediction of an early warning signal (pre-...

    Authors: Yanhao Huo, Geng Zhao, Luoshan Ruan, Peng Xu, Gang Fang, Fengyue Zhang, Zhenshen Bao and Xin Li
    Citation: BMC Bioinformatics 2022 22(Suppl 12):367
  2. The identification of cancer types is of great significance for early diagnosis and clinical treatment of cancer. Clustering cancer samples is an important means to identify cancer types, which has been paid m...

    Authors: Juan Wang, Cong-Hai Lu, Xiang-Zhen Kong, Ling-Yun Dai, Shasha Yuan and Xiaofeng Zhang
    Citation: BMC Bioinformatics 2022 22(Suppl 12):334
  3. Metagenomics technology can directly extract microbial genetic material from the environmental samples to obtain their sequencing reads, which can be further assembled into contigs through assembly tools. Clus...

    Authors: Zhongjun Jiang, Xiaobo Li and Lijun Guo
    Citation: BMC Bioinformatics 2022 22(Suppl 12):315

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